3D Searching by ruchi


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3D Searching by ruchi

  1. 1. GUIDED BY- Ms. SASMITA PANI PRESENTED BY- RUCHI RITAMBARA Roll No.- CS-10-19 Red No.-1001230057
  3. 3. INTRODUCTION 3D searching is a new method used to search 3D objects in a data house in the base of our submitted query. A search system which is capable of retrieving similar 3D models based on their shape is known as the 3Dsearch engine.
  4. 4. NEED FOR 3D SEARCH ENGINE • Consider a person who wants to build a 3D virtual world representing a city scene. He will need 3D models of cars, street lamps, stop signs etc. Will he buy a 3D modeling tool and build them himself? Or, will he acquire them from a large repository of 3D models on web? And obviously the answer is he will search in web for the model.
  5. 5. METHODOLOGY FOR 3D SEARCHING • Methodology used involves the following steps • Query formulation • Search process • Search result
  6. 6. QUERY FORMULATION • True 3D search systems offer two principal ways to formulate a query: 1- Users can select objects from a catalog of image based on product groupings, such as gears or sofas. 2- They can utilize a drawing program to create a picture of the object they are looking for. For example, Princeton’s 3D search engine uses an application to let users draw a 2D or 3D representation of the object they want to find.
  7. 7. When a client specify a query using any combination of keywords and sketches. Then, for each query, it returns a ranked set of images representing the 16 best matching 3D models. The user may retrieve any of the 3D models by clicking on its, and/or he may refine the search by editing the original input or by clicking on the “Find Similar Shape” link below it.
  8. 8. SEARCH PROCESS • The 3D-search system uses algorithms to convert the selected or drawn image- based query into a mathematical model called the voxel model by a process called voxelization that describes the features of the object being sought. • The model is then searched with those in the repository. If match is found then the object is returned.
  9. 9. Contd… Voxelization is the process of converting a representation of a 3D shape into a set of small volume elements (voxels) .
  10. 10. SEARCH RESULT • If the match of the 2D sketch or keyword is obtained then the 3D model of that is returned.
  11. 11. EXAMPLE OF SEARCH SYSTEM 1-3DESS • Scientists at the Purdue Research and Education Center for Information Systems in Engineering, led by Professor Karthik Ramani, created a 3D shape search technology called 3DESS (3D Engineering Search) . • The system can analyze a query by comparing either its feature-vector set shape representations with those stored in the database to find the ones that are most similar. • When the system retrieves models in response to a query, users can input which models more closely resemble the object they’re seeking.
  12. 12. 2-PRINCETON UNIVERSITY SEARCH SYSTEM • The Princeton search engine, like its Purdue counterpart, uses mathematical representations to store the salient characteristics of 3D shapes in its data- edges, and nodes. • The system can analyze a query by comparing either its feature-vector set potential obstacles. • Searchers can refine their queries by adding a text description.
  13. 13. ADVANTAGES • 3D searching is very effective in the search process of 3D objects. • It provides various searching process as well. • Query interface is a very useful term in the search process by which we can select any process for searching our model by various types of queries like text search.
  14. 14. LIMITATIONS • Better 2D image matching methods • New modeling tools
  15. 15. FUTURE PROSPECTUS • New query interfaces • New matching and indexing algorithms • New modeling tools • New applications
  16. 16. CONCLUSION • 3D search engine helps to have an idea of 3D model of any thing on web. • Most of today’s individual and corporate computer users don’t conduct the type of searches that would justify paying for and learning to use sophisticated 3D search engines . • However, within those markets, 3D search could prove useful and successful.
  17. 17. REFERENCES • http://www.princetonuniversity.edu • Global Journal of Computer Science and Technology,Volume-12 ,Issue-8 ,Version- 1.0,April 2012 • http://ieeexplore.ieee.org
  18. 18. NO(W) QUERIES?